<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><submitter>Alvarez-Kuglen M</submitter><funding>NIA NIH HHS</funding><funding>NCI NIH HHS</funding><pubmed_abstract>Biomarkers of biological age that predict the risk of disease and expected lifespan better than chronological age are key to efficient and cost-effective healthcare&lt;sup>1-3&lt;/sup>. To advance a personalized approach to healthcare, such biomarkers must reliably and accurately capture individual biology, predict biological age, and provide scalable and cost-effective measurements. We developed a novel approach - image-based chromatin and epigenetic age (ImAge) that captures intrinsic progressions of biological age, which readily emerge as principal changes in the spatial organization of chromatin and epigenetic marks in single nuclei without regression on chronological age. ImAge captured the expected acceleration or deceleration of biological age in mice treated with chemotherapy or followin</pubmed_abstract><journal>Research square</journal><pagination>rs.3.rs-3479973</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC10659560</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Imaging-based chromatin and epigenetic age, ImAge, quantitates aging and rejuvenation.</pubmed_title><pmcid>PMC10659560</pmcid><funding_grant_id>R21 AG075483</funding_grant_id><funding_grant_id>P30 CA030199</funding_grant_id><funding_grant_id>R21 AG068913</funding_grant_id><pubmed_authors>Sharpee TO</pubmed_authors><pubmed_authors>Roberts AJ</pubmed_authors><pubmed_authors>Havas A</pubmed_authors><pubmed_authors>Adams PD</pubmed_authors><pubmed_authors>Terskikh AV</pubmed_authors><pubmed_authors>Rodriguez D</pubmed_authors><pubmed_authors>Anderson RM</pubmed_authors><pubmed_authors>Hsu WM</pubmed_authors><pubmed_authors>Alvarez-Kuglen M</pubmed_authors><pubmed_authors>Ninomiya K</pubmed_authors><pubmed_authors>Qin H</pubmed_authors><pubmed_authors>Fiengo L</pubmed_authors><pubmed_authors>Farhy C</pubmed_authors><pubmed_authors>Serrano M</pubmed_authors><pubmed_authors>Feng GS</pubmed_authors></additional><is_claimable>false</is_claimable><name>Imaging-based chromatin and epigenetic age, ImAge, quantitates aging and rejuvenation.</name><description>Biomarkers of biological age that predict the risk of disease and expected lifespan better than chronological age are key to efficient and cost-effective healthcare&lt;sup>1-3&lt;/sup>. To advance a personalized approach to healthcare, such biomarkers must reliably and accurately capture individual biology, predict biological age, and provide scalable and cost-effective measurements. We developed a novel approach - image-based chromatin and epigenetic age (ImAge) that captures intrinsic progressions of biological age, which readily emerge as principal changes in the spatial organization of chromatin and epigenetic marks in single nuclei without regression on chronological age. ImAge captured the expected acceleration or deceleration of biological age in mice treated with chemotherapy or followin</description><dates><release>2023-01-01T00:00:00Z</release><publication>2023 Nov</publication><modification>2025-04-22T15:37:52.943Z</modification><creation>2025-04-06T01:23:38.707Z</creation></dates><accession>S-EPMC10659560</accession><cross_references><pubmed>37986947</pubmed><doi>10.21203/rs.3.rs-3479973/v1</doi></cross_references></HashMap>